Iterative Frequency Estimation by Interpolation on
Elias Aboutanios, B. Mulgrew · 2005
The estimation of the frequency of a complex expo- nential is a problem that is relevant to a large number of fields. In this paper, we propose and analyze two new frequency estimators that interpolate on the Fourier coefficients of the received signal samples. The estimators are shown to achieve identical asymptotic performances. They are asymptotically unbiased and normally dis- tributed with a variance that is only 1.0147 times the asymptotic Cramer-Rao bound (ACRB) uniformly over the frequency estima- tion range.